A Stock Information System over the Telephone Network
نویسندگان
چکیده
In this paper, we present a large vocabulary , speaker independent speech recognition sys-tem(KT-STOCK) and describe its performance over the telephone network. KT-STOCK is a stock information retrieval system with which we can obtain the current price of a stock by saying a stock name among 710 stock names listed on the Korea stock exchange. The system is an HMM(hidden Markov model)-based isolated speech recognizer which uses phoneme-like unit as a basic unit. Four digital signal processors are used for real time. And we also implement echo cancellation function for recognizing speech spoken over the voice announcement. Currently, we have achieved the recognition rate of 78.4% in the real environment.
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